7 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
Task-Guided IRL in POMDPs that Scales
Franck Djeumou, Christian Ellis, Murat Cubuktepe +2
In inverse reinforcement learning (IRL), a learning agent infers a reward function encoding the underlying task using demonstrations from experts. However, many existing IRL techni…
Large Scale Radio Frequency Signal Classification
Luke Boegner, Manbir Gulati, Garrett Vanhoy +5
Existing datasets used to train deep learning models for narrowband radio frequency (RF) signal classification lack enough diversity in signal types and channel impairments to suff…
Task-Guided Inverse Reinforcement Learning Under Partial Information
Franck Djeumou, Murat Cubuktepe, Craig Lennon +1
We study the problem of inverse reinforcement learning (IRL), where the learning agent recovers a reward function using expert demonstrations. Most of the existing IRL techniques m…